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#
# Pyserini: Reproducible IR research with sparse and dense representations
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from transformers import AutoTokenizer
from pyserini.encode import QueryEncoder
class TokFreqQueryEncoder(QueryEncoder):
def __init__(self, model_name_or_path=None):
self.tokenizer = AutoTokenizer.from_pretrained(model_name_or_path) if model_name_or_path else None
def encode(self, text, **kwargs):
vector = {}
if self.tokenizer is not None:
tok_list = self.tokenizer.tokenize(text)
else:
tok_list = text.strip().split()
for tok in tok_list:
if tok not in vector:
vector[tok] = 1
else:
vector[tok] += 1
return vector
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